IBMB Seminar Series: Dr. Gordon KirbyExport this event to calendar

Tuesday, September 24, 2013 — 3:30 PM EDT

The hurdles of developing a diagnostic test for Canine Hemangiosarcoma

Dr. Gordon Kirby
Department of Biomedical Sciences
University of Guelph

Tuesday, September 24, 2013
3:30 p.m.
C2-361 (Reading Room)

Abstract:  Canine hemangiosarcoma (HSA) is a common malignancy derived from vascular endothelium with early, aggressive metastasis. Diagnosis of HSA is challenging due to the lack of sensitive and specific tests for early detection. We hypothesized that specific serum proteins that are increased in dogs with HSA represent diagnostic biomarkers. Comparison of the serum proteome of dogs with HSA to healthy dogs by 2D DIGE revealed increased levels of a protein subsequently identified by LC-MS/MS as collagen XXVII alpha 1. Western blot analysis showed that serum protein levels were increased by 5.5 fold in dogs with large HSA burdens. Receiver operating characteristic curves revealed an estimated area under the curve of 83% for HSA cases whereas AUC for other neoplastic and non-neoplastic diseases were non-discriminatory.  Furthermore, serum biomarker levels were reduced to control levels in dogs following tumor removal but increased with recurrence. In September 2011, the GenBank entry for collagen XXVII alpha 1 was modified, changing the identity to alpha-1 acid glycoprotein (AGP), an acute phase protein. Consequently, we tested the hypothesis that levels of AGP in dogs with HSA are elevated and levels of other acute phase proteins are low whereas both are increased in dogs with inflammatory disease. In addition, we hypothesized that glycoform differences exist in serum AGP produced during HSA compared to inflammation. Findings from these most recent studies will be discussed. Overall, the results indicate that AGP is a potentially useful biomarker for the diagnosis and prognosis of HSA in dogs

S M T W T F S
26
27
28
29
30
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
1
2
3
4
5
6
  1. 2020 (36)
    1. April (1)
    2. March (9)
    3. February (11)
    4. January (15)
  2. 2019 (131)
    1. December (4)
    2. November (11)
    3. October (13)
    4. September (18)
    5. August (4)
    6. July (9)
    7. June (9)
    8. May (15)
    9. April (13)
    10. March (15)
    11. February (14)
    12. January (6)
  3. 2018 (115)
  4. 2017 (108)
  5. 2016 (125)
  6. 2015 (115)
  7. 2014 (98)
  8. 2013 (104)
  9. 2012 (85)
  10. 2011 (10)